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Gene Expression Analysis for Uterine Cervix and Corpus Cancer Characterization
Lucía Almorox1, Laura Antequera1, Ignacio Rojas1
1Department of Computer Engineering, Automatics and Robotics, C.I.T.I.C., University of Granada, Periodista Rafael Gómez Montero, 2, 18014 Granada, Spain.
Genes
|March 28, 2024
Summary
This study identifies novel gene signatures for uterine cancers, distinguishing between healthy and cancerous tissues and subtypes with high accuracy. These molecular markers offer potential for improved cancer diagnosis and treatment strategies.
Area of Science:
- Oncology
- Genomics
- Bioinformatics
Background:
- Gene expression analysis is crucial for understanding cancer.
- Uterine cancers exhibit complex transcriptomic variations.
- Distinguishing between uterine cervix and corpus cancers, and their subtypes, is clinically significant.
Purpose of the Study:
- To identify molecular signatures differentiating healthy uterine tissue from uterine cancers.
- To explore transcriptomic differences related to cancer localization and histological subtypes.
- To discover potential diagnostic and prognostic biomarkers for uterine cancers.
Main Methods:
- Utilized RNA-Seq and miRNA-Seq data from The Cancer Genome Atlas (TCGA) database.
- Employed k-nearest neighbors (kNN) classification and variable selection algorithms.
- Performed cross-validation and external validation using the CGCI program.
Main Results:
- Identified a three-gene signature (VWCE, CLDN15, ADCYAP1R1) with 100% accuracy for classifying uterine cancers and healthy tissue.
- Discovered a two-gene miRNA signature with an 82% F1-macro score, potentially regulating the identified mRNA signature.
- Found a single-gene signature (ICA1L) with 100% accuracy for distinguishing between cervical cancer subtypes (adenocarcinoma and squamous cell carcinoma).
Conclusions:
- The identified gene signatures provide robust predictive capabilities for uterine cancer diagnosis.
- These findings offer valuable insights into the molecular mechanisms underlying uterine cervix and corpus cancers.
- The study highlights potential for novel diagnostic and therapeutic strategies in gynecologic oncology.
